"""Configure jupyter notebook."""

import webbrowser
from shutil import which

from traitlets.config.loader import Config

c = globals().get("c", Config())

# Configuration file for jupyter-notebook.

# -----------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
# -----------------------------------------------------------------------------

# # This is an application.

# # The date format used by logging formatters for %(asctime)s
# c.Application.log_datefmt = '%Y-%m-%d %H:%M:%S'

# # The Logging format template
# c.Application.log_format = '[%(name)s]%(highlevel)s %(message)s'

# # Set the log level by value or name.
# c.Application.log_level = 30

# -----------------------------------------------------------------------------
# JupyterApp(Application) configuration
# -----------------------------------------------------------------------------

# # Base class for Jupyter applications

# # Answer yes to any prompts.
# c.JupyterApp.answer_yes = False

# # Full path of a config file.
# c.JupyterApp.config_file = ''

# # Specify a config file to load.
# c.JupyterApp.config_file_name = ''

# # Generate default config file.
# c.JupyterApp.generate_config = False

# -----------------------------------------------------------------------------
# NotebookApp(JupyterApp) configuration
# -----------------------------------------------------------------------------

# # 设置Access-Control-Allow-Credentials:true报头
# c.NotebookApp.allow_credentials = False

# # Set the Access-Control-Allow-Origin header
#
#  Use '*' to allow any origin to access your server.
#
#  Takes precedence over allow_origin_pat.
# c.NotebookApp.allow_origin = ''

# # Use a regular expression for the Access-Control-Allow-Origin header
#
#  Requests from an origin matching the expression will get replies with:
#
#      Access-Control-Allow-Origin: origin
#
#  where `origin` is the origin of the request.
#
#  Ignored if allow_origin is set.
# c.NotebookApp.allow_origin_pat = ''

# # Allow password to be changed at login for the notebook server.
#
#  While login in with a token, the notebook server UI will give the
#  opportunity to the user to enter a new password at the same time that will
#  replace the token login mechanism.
#
#  This can be set to false to prevent changing password from the UI/API.
# c.NotebookApp.allow_password_change = True

# # Allow requests where the Host header doesn't point to a local server
#
#  By default, requests get a 403 forbidden response if the 'Host' header shows
#  that the browser thinks it's on a non-local domain. Setting this option to
#  True disables this check.
#
#  This protects against 'DNS rebinding' attacks, where a remote web server
#  serves you a page and then changes its DNS to send later requests to a local
#  IP, bypassing same-origin checks.
#
#  Local IP addresses (such as 127.0.0.1 and ::1) are allowed as local, along
#  with hostnames configured in local_hostnames.
# c.NotebookApp.allow_remote_access = False

# # 是否允许notebook在root用户下运行.
# c.NotebookApp.allow_root = False

# # DEPRECATED use base_url
# c.NotebookApp.base_project_url = '/'

# # The base URL for the notebook server.
#
#  Leading and trailing slashes can be omitted, and will automatically be
#  added.
# c.NotebookApp.base_url = '/'

# # Specify what command to use to invoke a web browser when opening the
# notebook. If not specified, the default browser will be determined by the
# `webbrowser` standard library module, which allows setting of the BROWSER
# environment variable to override it.
if which("termux-open"):
    webbrowser.register(
        "termux-open",
        None,
        webbrowser.GenericBrowser(which("termux-open") or ""),
    )
# c.NotebookApp.browser = 'xdg-open'

# # SSL/TLS 认证文件所在全路径.
# c.NotebookApp.certfile = ''

# # 用于ssl/tls客户端身份验证的证书颁发证书的完整路径.
# c.NotebookApp.client_ca = ''

# # The config manager class to use
# c.NotebookApp.config_manager_class = \
# 'notebook.services.config.manager.ConfigManager'

# # The notebook manager class to use.
# c.NotebookApp.contents_manager_class = \
# 'notebook.services.contents.largefilemanager.LargeFileManager'

# # Extra keyword arguments to pass to `set_secure_cookie`. See tornado's
#  set_secure_cookie docs for details.
# c.NotebookApp.cookie_options = {}

# # The random bytes used to secure cookies. By default this is a new random
#  number every time you start the Notebook. Set it to a value in a config file
#  to enable logins to persist across server sessions.
#
#  Note: Cookie secrets should be kept private, do not share config files with
#  cookie_secret stored in plaintext (you can read the value from a file).
# c.NotebookApp.cookie_secret = b''

# # 存放cookie密钥的文件被保存了.
# c.NotebookApp.cookie_secret_file = ''

# # Override URL shown to users.
#
#  Replace actual URL, including protocol, address, port and base URL, with the
#  given value when displaying URL to the users. Do not change the actual
#  connection URL. If authentication token is enabled, the token is added to
#  the custom URL automatically.
#
#  This option is intended to be used when the URL to display to the user
#  cannot be determined reliably by the Jupyter notebook server (proxified or
#  containerized setups for example).
# c.NotebookApp.custom_display_url = ''

# # 从 `/` 重定向到的默认URL
# c.NotebookApp.default_url = '/tree'

# # Disable cross-site-request-forgery protection
#
#  Jupyter notebook 4.3.1 introduces protection from cross-site request
#  forgeries, requiring API requests to either:
#
#  - originate from pages served by this server (validated with XSRF cookie and
#  token), or - authenticate with a token
#
#  Some anonymous compute resources still desire the ability to run code,
#  completely without authentication. These services can disable all
#  authentication and security checks, with the full knowledge of what that
#  implies.
# c.NotebookApp.disable_check_xsrf = False

# # Whether to enable MathJax for typesetting math/TeX
#
#  MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
#  very large, so you may want to disable it if you have a slow internet
#  connection, or for offline use of the notebook.
#
#  When disabled, equations etc. will appear as their untransformed TeX source.
# c.NotebookApp.enable_mathjax = True

# # extra paths to look for Javascript notebook extensions
# c.NotebookApp.extra_nbextensions_path = []

# # handlers that should be loaded at higher priority than the default services
# c.NotebookApp.extra_services = []

# # Extra paths to search for serving static files.
#
#  This allows adding javascript/css to be available from the notebook server
#  machine, or overriding individual files in the IPython
# c.NotebookApp.extra_static_paths = []

# # Extra paths to search for serving jinja templates.
#
#  Can be used to override templates from notebook.templates.
# c.NotebookApp.extra_template_paths = []

# #
# c.NotebookApp.file_to_run = ''

# # Extra keyword arguments to pass to `get_secure_cookie`. See tornado's
#  get_secure_cookie docs for details.
# c.NotebookApp.get_secure_cookie_kwargs = {}

# # Deprecated: Use minified JS file or not, mainly use during dev to avoid JS
#  recompilation
# c.NotebookApp.ignore_minified_js = False

# # (bytes/sec) Maximum rate at which stream output can be sent on iopub before
#  they are limited.
# c.NotebookApp.iopub_data_rate_limit = 1000000

# # (msgs/sec) Maximum rate at which messages can be sent on iopub before they
# are limited.
# c.NotebookApp.iopub_msg_rate_limit = 1000

# # notebook服务会监听的IP地址.
# c.NotebookApp.ip = 'localhost'

# # Supply extra arguments that will be passed to Jinja environment.
# c.NotebookApp.jinja_environment_options = {}

# # Extra variables to supply to jinja templates when rendering.
# c.NotebookApp.jinja_template_vars = {}

# # The kernel manager class to use.
# c.NotebookApp.kernel_manager_class = \
# 'notebook.services.kernels.kernelmanager.MappingKernelManager'

# # The kernel spec manager class to use. Should be a subclass of
#  `jupyter_client.kernelspec.KernelSpecManager`.
#
#  The Api of KernelSpecManager is provisional and might change without warning
#  between this version of Jupyter and the next stable one.
# c.NotebookApp.kernel_spec_manager_class = \
# 'jupyter_client.kernelspec.KernelSpecManager'

# # SSL/TLS 私钥文件所在全路径.
# c.NotebookApp.keyfile = ''

# # Hostnames to allow as local when allow_remote_access is False.
#
#  Local IP addresses (such as 127.0.0.1 and ::1) are automatically accepted as
#  local as well.
# c.NotebookApp.local_hostnames = ['localhost']

# # The login handler class to use.
# c.NotebookApp.login_handler_class = 'notebook.auth.login.LoginHandler'

# # The logout handler class to use.
# c.NotebookApp.logout_handler_class = 'notebook.auth.logout.LogoutHandler'

# # The MathJax.js configuration file that is to be used.
# c.NotebookApp.mathjax_config = 'TeX-AMS-MML_HTMLorMML-full,Safe'

# # A custom url for MathJax.js. Should be in the form of a case-sensitive url
# to MathJax, for example:  /static/components/MathJax/MathJax.js
# c.NotebookApp.mathjax_url = ''

# # Sets the maximum allowed size of the client request body, specified in the
#  Content-Length request header field. If the size in a request  exceeds the
#  configured value, a malformed HTTP message is returned to the client.
#
#  Note: max_body_size is applied even in streaming mode.
# c.NotebookApp.max_body_size = 536870912

# # Gets or sets the maximum amount of memory, in bytes, that is allocated for
#  use by the buffer manager.
# c.NotebookApp.max_buffer_size = 536870912

# # 将Python模块作为笔记本服务器扩展加载。
# 可以使用条目值来启用和禁用扩展的加载。这些扩展将以字母顺序加载。
# c.NotebookApp.nbserver_extensions = {}

# # 用于笔记本和内核的目录。
# c.NotebookApp.notebook_dir = r'/'

# # Whether to open in a browser after starting. The specific browser used is
#  platform dependent and determined by the python standard library
#  `webbrowser` module, unless it is overridden using the --browser
#  (NotebookApp.browser) configuration option.
c.NotebookApp.open_browser = True

# # Hashed password to use for web authentication.
#
#  To generate, type in a python/IPython shell:
#
#    from notebook.auth import passwd; passwd()
#
#  The string should be of the form type:salt:hashed-password.
# c.NotebookApp.password = ''

# # Forces users to use a password for the Notebook server. This is useful in a
#  multi user environment, for instance when everybody in the LAN can access
#  each other's machine through ssh.
#
#  In such a case, server the notebook server on localhost is not secure since
#  any user can connect to the notebook server via ssh.
# c.NotebookApp.password_required = False

# # notebook服务会监听的IP端口.
# c.NotebookApp.port = 8888

# # 如果指定的端口不可用，则要尝试其他端口的数量.
# c.NotebookApp.port_retries = 50

# # DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
# c.NotebookApp.pylab = 'disabled'

# # If True, display a button in the dashboard to quit (shutdown the notebook
#  server).
# c.NotebookApp.quit_button = True

# # (sec)时间窗口被用来  检查消息和数据速率限制.
# c.NotebookApp.rate_limit_window = 3

# # 重新运行的异常会遇到加载服务器扩展吗?
# c.NotebookApp.reraise_server_extension_failures = False

# # 不赞成使用nbserverextensions
# c.NotebookApp.server_extensions = []

# # The session manager class to use.
# c.NotebookApp.session_manager_class = \
# 'notebook.services.sessions.sessionmanager.SessionManager'

# # Shut down the server after N seconds with no kernels or terminals running
# and no activity. This can be used together with culling idle kernels
#  (MappingKernelManager.cull_idle_timeout) to shutdown the notebook server
#  when it's not in use. This is not precisely timed: it may shut down up to a
#  minute later. 0 (the default) disables this automatic shutdown.
# c.NotebookApp.shutdown_no_activity_timeout = 0

# # Supply SSL options for the tornado HTTPServer. See the tornado docs for
#  details.
# c.NotebookApp.ssl_options = {}

# # Supply overrides for terminado. Currently only supports "shell_command".
# c.NotebookApp.terminado_settings = {}

# # Set to False to disable terminals.
#
#  This does *not* make the notebook server more secure by itself. Anything the
#  user can in a terminal, they can also do in a notebook.
#
#  Terminals may also be automatically disabled if the terminado package is not
#  available.
# c.NotebookApp.terminals_enabled = True

# # Token used for authenticating first-time connections to the server.
#
#  When no password is enabled, the default is to generate a new, random token.
#
#  Setting to an empty string disables authentication altogether, which is NOT
#  RECOMMENDED.
# c.NotebookApp.token = '<generated>'

# # Supply overrides for the tornado.web.Application that the Jupyter notebook
#  uses.
# c.NotebookApp.tornado_settings = {}

# # Whether to trust or not X-Scheme/X-Forwarded-Proto and
# X-Real-Ip/X-Forwarded-For headerssent by the upstream reverse proxy.
# Necessary if the proxy handless SSL
# c.NotebookApp.trust_xheaders = False

# # DEPRECATED, use tornado_settings
# c.NotebookApp.webapp_settings = {}

# # Specify Where to open the notebook on startup. This is the `new` argument
#  passed to the standard library method `webbrowser.open`. The behaviour is
#  not guaranteed, but depends on browser support. Valid values are:
#
#   - 2 opens a new tab,
#   - 1 opens a new window,
#   - 0 opens in an existing window.
#
#  See the `webbrowser.open` documentation for details.
# c.NotebookApp.webbrowser_open_new = 2

# # Set the tornado compression options for websocket connections.
#
#  This value will be returned from
#  :meth:`WebSocketHandler.get_compression_options`. None (default) will
#  disable compression. A dict (even an empty one) will enable compression.
#
#  See the tornado docs for WebSocketHandler.get_compression_options for
#  details.
# c.NotebookApp.websocket_compression_options = None

# # The base URL for websockets, if it differs from the HTTP server (hint: it
#  almost certainly doesn't).
#
#  Should be in the form of an HTTP origin: ws[s]://hostname[:port]
# c.NotebookApp.websocket_url = ''

# -----------------------------------------------------------------------------
# ConnectionFileMixin(LoggingConfigurable) configuration
# -----------------------------------------------------------------------------

# # Mixin for configurable classes that work with connection files

# # JSON file in which to store connection info [default: kernel-<pid>.json]
#
#  This file will contain the IP, ports, and authentication key needed to
#  connect clients to this kernel. By default, this file will be created in the
#  security dir of the current profile, but can be specified by absolute path.
# c.ConnectionFileMixin.connection_file = ''

# # set the control (ROUTER) port [default: random]
# c.ConnectionFileMixin.control_port = 0

# # set the heartbeat port [default: random]
# c.ConnectionFileMixin.hb_port = 0

# # set the iopub (PUB) port [default: random]
# c.ConnectionFileMixin.iopub_port = 0

# # Set the kernel's IP address [default localhost]. If the IP address is
#  something other than localhost, then Consoles on other machines will be able
#  to connect to the Kernel, so be careful!
c.ConnectionFileMixin.ip = "*"

# # set the shell (ROUTER) port [default: random]
# c.ConnectionFileMixin.shell_port = 0

# # set the stdin (ROUTER) port [default: random]
# c.ConnectionFileMixin.stdin_port = 0

# #
# c.ConnectionFileMixin.transport = 'tcp'

# -----------------------------------------------------------------------------
# KernelManager(ConnectionFileMixin) configuration
# -----------------------------------------------------------------------------

# # Manages a single kernel in a subprocess on this host.
#
#  This version starts kernels with Popen.

# # Should we autorestart the kernel if it dies.
# c.KernelManager.autorestart = True

# # DEPRECATED: Use kernel_name instead.
#
#  The Popen Command to launch the kernel. Override this if you have a custom
#  kernel. If kernel_cmd is specified in a configuration file, Jupyter does not
#  pass any arguments to the kernel, because it cannot make any assumptions
#  about the arguments that the kernel understands. In particular, this means
#  that the kernel does not receive the option --debug if it given on the
#  Jupyter command line.
# c.KernelManager.kernel_cmd = []

# # Time to wait for a kernel to terminate before killing it, in seconds.
# c.KernelManager.shutdown_wait_time = 5.0

# -----------------------------------------------------------------------------
# Session(Configurable) configuration
# -----------------------------------------------------------------------------

# # Object for handling serialization and sending of messages.
#
#  The Session object handles building messages and sending them with ZMQ
#  sockets or ZMQStream objects.  Objects can communicate with each other over
#  the network via Session objects, and only need to work with the dict-based
#  IPython message spec. The Session will handle serialization/deserialization,
#  security, and metadata.
#
#  Sessions support configurable serialization via packer/unpacker traits, and
#  signing with HMAC digests via the key/keyfile traits.
#
#  Parameters ----------
#
#  debug : bool
#      whether to trigger extra debugging statements
#  packer/unpacker : str : 'json', 'pickle' or import_string
#      importstrings for methods to serialize message parts.  If just
#      'json' or 'pickle', predefined JSON and pickle packers will be used.
#      Otherwise, the entire importstring must be used.
#
#      The functions must accept at least valid JSON input, and output *bytes*.
#
#      For example, to use msgpack:
#      packer = 'msgpack.packb', unpacker='msgpack.unpackb'
#  pack/unpack : callables
#      You can also set the pack/unpack callables for serialization directly.
#  session : bytes
#      the ID of this Session object.  The default is to generate a new UUID.
#  username : unicode
#      username added to message headers.  The default is to ask the OS.
#  key : bytes
#      The key used to initialize an HMAC signature.  If unset, messages
#      will not be signed or checked.
#  keyfile : filepath
#      The file containing a key.  If this is set, `key` will be initialized
#      to the contents of the file.

# # Threshold (in bytes) beyond which an object's buffer should be extracted to
#  avoid pickling.
# c.Session.buffer_threshold = 1024

# # Whether to check PID to protect against calls after fork.
#
#  This check can be disabled if fork-safety is handled elsewhere.
# c.Session.check_pid = True

# # Threshold (in bytes) beyond which a buffer should be sent without copying.
# c.Session.copy_threshold = 65536

# # Debug output in the Session
# c.Session.debug = False

# # The maximum number of digests to remember.
#
#  The digest history will be culled when it exceeds this value.
# c.Session.digest_history_size = 65536

# # The maximum number of items for a container to be introspected for custom
#  serialization. Containers larger than this are pickled outright.
# c.Session.item_threshold = 64

# # execution key, for signing messages.
# c.Session.key = b''

# # path to file containing execution key.
# c.Session.keyfile = ''

# # Metadata dictionary, which serves as the default top-level metadata dict
# for each message.
# c.Session.metadata = {}

# # The name of the packer for serializing messages. Should be one of 'json',
#  'pickle', or an import name for a custom callable serializer.
# c.Session.packer = 'json'

# # The UUID identifying this session.
# c.Session.session = ''

# # The digest scheme used to construct the message signatures. Must have the
# form 'hmac-HASH'.
# c.Session.signature_scheme = 'hmac-sha256'

# # The name of the unpacker for unserializing messages. Only used with custom
#  functions for `packer`.
# c.Session.unpacker = 'json'

# # Username for the Session. Default is your system username.
# c.Session.username = 'Freed-Wu'

# -----------------------------------------------------------------------------
# MultiKernelManager(LoggingConfigurable) configuration
# -----------------------------------------------------------------------------

# # A class for managing multiple kernels.

# # The name of the default kernel to start
# c.MultiKernelManager.default_kernel_name = 'python3'

# # The kernel manager class.  This is configurable to allow subclassing of the
#  KernelManager for customized behavior.
# c.MultiKernelManager.kernel_manager_class = \
# 'jupyter_client.ioloop.IOLoopKernelManager'

# -----------------------------------------------------------------------------
# MappingKernelManager(MultiKernelManager) configuration
# -----------------------------------------------------------------------------

# # A KernelManager that handles notebook mapping and HTTP error handling

# # Whether messages from kernels whose frontends have disconnected should be
#  buffered in-memory.
#
#  When True (default), messages are buffered and replayed on reconnect,
#  avoiding lost messages due to interrupted connectivity.
#
#  Disable if long-running kernels will produce too much output while no
#  frontends are connected.
# c.MappingKernelManager.buffer_offline_messages = True

# # Whether to consider culling kernels which are busy. Only effective if
#  cull_idle_timeout > 0.
# c.MappingKernelManager.cull_busy = False

# # Whether to consider culling kernels which have one or more connections.
# Only effective if cull_idle_timeout > 0.
# c.MappingKernelManager.cull_connected = False

# # Timeout (in seconds) after which a kernel is considered idle and ready to
# be culled. Values of 0 or lower disable culling. Very short timeouts may
# result in kernels being culled for users with poor network connections.
# c.MappingKernelManager.cull_idle_timeout = 0

# # The interval (in seconds) on which to check for idle kernels exceeding the
#  cull timeout value.
# c.MappingKernelManager.cull_interval = 300

# # Timeout for giving up on a kernel (in seconds).
#
#  On starting and restarting kernels, we check whether the kernel is running
#  and responsive by sending kernel_info_requests. This sets the timeout in
#  seconds for how long the kernel can take before being presumed dead.  This
#  affects the MappingKernelManager (which handles kernel restarts)  and the
#  ZMQChannelsHandler (which handles the startup).
# c.MappingKernelManager.kernel_info_timeout = 60

# #
# c.MappingKernelManager.root_dir = ''

# -----------------------------------------------------------------------------
# ContentsManager(LoggingConfigurable) configuration
# -----------------------------------------------------------------------------

# # Base class for serving files and directories.
#
#  This serves any text or binary file, as well as directories, with special
#  handling for JSON notebook documents.
#
#  Most APIs take a path argument, which is always an API-style unicode path,
#  and always refers to a directory.
#
#  - unicode, not url-escaped
#  - '/'-separated
#  - leading and trailing '/' will be stripped
#  - if unspecified, path defaults to '',
#    indicating the root path.

# # Allow access to hidden files
# c.ContentsManager.allow_hidden = False

# #
# c.ContentsManager.checkpoints = None

# #
# c.ContentsManager.checkpoints_class = \
# 'notebook.services.contents.checkpoints.Checkpoints'

# #
# c.ContentsManager.checkpoints_kwargs = {}

# # handler class to use when serving raw file requests.
#
#  Default is a fallback that talks to the ContentsManager API, which may be
#  inefficient, especially for large files.
#
#  Local files-based ContentsManagers can use a StaticFileHandler subclass,
#  which will be much more efficient.
#
#  Access to these files should be Authenticated.
# c.ContentsManager.files_handler_class = \
# 'notebook.files.handlers.FilesHandler'

# # Extra parameters to pass to files_handler_class.
#
#  For example, StaticFileHandlers generally expect a `path` argument
#  specifying the root directory from which to serve files.
# c.ContentsManager.files_handler_params = {}

# # Glob patterns to hide in file and directory listings.
# c.ContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store',
# '*.so', '*.dylib', '*~']

# # Python callable or importstring thereof
#
#  To be called on a contents model prior to save.
#
#  This can be used to process the structure, such as removing notebook outputs
#  or other side effects that should not be saved.
#
#  It will be called as (all arguments passed by keyword)::
#
#      hook(path=path, model=model, contents_manager=self)
#
#  - model: the model to be saved. Includes file contents.
#    Modifying this dict will affect the file that is stored.
#  - path: the API path of the save destination
#  - contents_manager: this ContentsManager instance
# c.ContentsManager.pre_save_hook = None

# #
# c.ContentsManager.root_dir = '/'

# # The base name used when creating untitled directories.
# c.ContentsManager.untitled_directory = 'Untitled Folder'

# # The base name used when creating untitled files.
# c.ContentsManager.untitled_file = 'untitled'

# # The base name used when creating untitled notebooks.
# c.ContentsManager.untitled_notebook = '未命名'

# -----------------------------------------------------------------------------
# FileManagerMixin(Configurable) configuration
# -----------------------------------------------------------------------------

# # Mixin for ContentsAPI classes that interact with the filesystem.
#
#  Provides facilities for reading, writing, and copying both notebooks and
#  generic files.
#
#  Shared by FileContentsManager and FileCheckpoints.
#
#  Note ---- Classes using this mixin must provide the following attributes:
#
#  root_dir : unicode
#      A directory against against which API-style paths are to be resolved.
#
#  log : logging.Logger

# # By default notebooks are saved on disk on a temporary file and then if
#  succefully written, it replaces the old ones. This procedure, namely
#  'atomic_writing', causes some bugs on file system without operation order
#  enforcement (like some networked fs). If set to False, the new notebook is
#  written directly on the old one which could fail (eg: full filesystem or
#  quota)
# c.FileManagerMixin.use_atomic_writing = True

# -----------------------------------------------------------------------------
# FileContentsManager(FileManagerMixin,ContentsManager) configuration
# -----------------------------------------------------------------------------

# # If True (default), deleting files will send them to the platform's
#  trash/recycle bin, where they can be recovered. If False, deleting files
#  really deletes them.
# c.FileContentsManager.delete_to_trash = True

# # Python callable or importstring thereof
#
#  to be called on the path of a file just saved.
#
#  This can be used to process the file on disk, such as converting the
#  notebook to a script or HTML via nbconvert.
#
#  It will be called as (all arguments passed by keyword)::
#
#      hook(os_path=os_path, model=model, contents_manager=instance)
#
#  - path: the filesystem path to the file just written - model: the model
#  representing the file - contents_manager: this ContentsManager instance
# c.FileContentsManager.post_save_hook = None

# #
# c.FileContentsManager.root_dir = ''

# # DEPRECATED, use post_save_hook. Will be removed in Notebook 5.0
# c.FileContentsManager.save_script = False

# -----------------------------------------------------------------------------
# NotebookNotary(LoggingConfigurable) configuration
# -----------------------------------------------------------------------------

# # A class for computing and verifying notebook signatures.

# # The hashing algorithm used to sign notebooks.
# c.NotebookNotary.algorithm = 'sha256'

# # The sqlite file in which to store notebook signatures. By default, this
# will be in your Jupyter data directory. You can set it to ':memory:' to
# disable sqlite writing to the filesystem.
# c.NotebookNotary.db_file = ''

# # The secret key with which notebooks are signed.
# c.NotebookNotary.secret = b''

# # The file where the secret key is stored.
# c.NotebookNotary.secret_file = ''

# # A callable returning the storage backend for notebook signatures. The
# default uses an SQLite database.
# c.NotebookNotary.store_factory = traitlets.Undefined

# -----------------------------------------------------------------------------
# KernelSpecManager(LoggingConfigurable) configuration
# -----------------------------------------------------------------------------

# # If there is no Python kernelspec registered and the IPython kernel is
#  available, ensure it is added to the spec list.
# c.KernelSpecManager.ensure_native_kernel = True

# # The kernel spec class.  This is configurable to allow subclassing of the
#  KernelSpecManager for customized behavior.
# c.KernelSpecManager.kernel_spec_class = \
# 'jupyter_client.kernelspec.KernelSpec'

# # Whitelist of allowed kernel names.
#
#  By default, all installed kernels are allowed.
# c.KernelSpecManager.whitelist = set()
